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In industrial process, some important variables such as quality index, efficiency index and concentration of product components are difficult or even impossible to be measured directly due to the limitation of technology. This phenomenon leads to few labeled data and plenty of unlabeled data. Traditional identification method for controlled auto regressive (CAR) model usually cannot deal with unlabeled...
We have developed a new methodology with statistical simulation of leakage current resulting in Vt shift over time of tail bit for assessment of the susceptibility to data retention in floating gate flash memories. The statistical simulation results of Vt distribution are verified with measurements of programmed bit in actual product with good agreement. The new methodology can effectively predict...
The new named data networking (NDN) has shifted the Internet from today's IP-based packet-delivery model to the name-based data retrieval model. The architecture shift from IP addresses to named data results in effective content delivery via in-networking cache and direct object retrieval. However, this shift has also created challenges and obstacles for securing data objects and providing appropriate...
Building evacuation in case of emergency events such as fire and smoke has long been recognized as a crucial issue. Stair is the main egress, whether the staircases meet the criterion of building safety is thus important. But it is difficult or even impossible to test staircases in actual emergency events. In view of this, simulation is a proper method, and how to improve evacuation simulation in...
Given the elasticity, dynamicity and on-demand nature of the cloud, cloud-based applications require dynamic models for Quality of Service (QoS), especially when the sensitivity of QoS tends to fluctuate at runtime. These models can be autonomically used by the cloud-based application to correctly self-adapt its QoS provision. We present a novel dynamic and self-adaptive sensitivity-aware QoS modeling...
The quality of road traffic accidents appraisal is not only related to the analysis accident causes, the impartiality dealing with traffic accidents, but also related to some major issues such as safeguarding the authority enforcing the law, maintaining the government's prestige, and promoting legalization of traffic management. To solve the limitation and applicability of the traditional method of...
Proportional hazards model is introduced into dealing with accelerated degradation test data, and a model based on proportional degradation hazards model (PDHM) is proposed, the only assumption is that the logarithm of the degradation hazard function is a linear function of the stress covariates. The PDHM is established with degradation data, then the probability density function and Likelihood function...
We study how direct communication within a group of devices, cluster, can improve the performance of a conventional cellular system. The clusters are formed from devices that are close and communicating with each other, for example, sharing data. The clusters share the radio resources among other devices in the system thus creating a mixed network system comprising directly communicating devices and...
Reference clinical data interchange standards defined by CDISC (Clinical Data Interchange Standards Consortium), we developed clinical data management system with distributed system architecture which can be executed on different platforms for high performance. This system consists mainly of study management module, data capture module, data management module and security module. Besides, web-based...
According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition, analyzes the impact factor of AOD furnace molten iron endpoint temperature, by optimizing the neural network connection weights and structure, design prediction model of molten iron endpoint temperature based on RBF neural network, using LM algorithm and 50 furnaces actual production data to train the model, and predicts...
Grey dynamic prediction (GDP) based sensor fault diagnosis for autonomous underwater vehicle (AUV) is proposed in this paper. This method can solve the problems of short information, strong uncertainty and real-time requirement. The principle of GDP and its practical steps for sensor fault diagnosis are introduced in detail. The simulation research is carried out for four typical fault modes of AUV...
In order to evaluate road safety in design stage, virtual simulation tests are proposed. The system includes the modeling of virtual road based on Creator, the development of vehicle dynamics model and 3D model, the development of real-time simulation software based on Vega and road safety evaluation model. Through the visual simulation tests, the vehicle speed inducement effect of the road can be...
Acoustic variability across speakers is one of the challenges of speaker independent (SI) speech recognition systems. As a powerful solution, dominant speaker adaptation technologies such as MLLR and MAP may become inefficient because of the lack of enough enrollment data. In this paper, we propose an adaptation method based on speaker selection training, which makes full use of statistics of training...
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